Overview

Dataset statistics

Number of variables17
Number of observations175
Missing cells566
Missing cells (%)19.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.4 KiB
Average record size in memory136.7 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id_embedded is highly overall correlated with seasonHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
type is highly imbalanced (91.0%)Imbalance
number has 2 (1.1%) missing valuesMissing
airtime has 117 (66.9%) missing valuesMissing
runtime has 10 (5.7%) missing valuesMissing
rating_average has 175 (100.0%) missing valuesMissing
medium has 86 (49.1%) missing valuesMissing
original has 86 (49.1%) missing valuesMissing
summary has 90 (51.4%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:09:14.098490
Analysis finished2023-08-05 19:09:17.680072
Duration3.58 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2448180.1
Minimum2374462
Maximum2599589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:17.766613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2374462
5-th percentile2412570
Q12432725
median2443000
Q32447514.5
95-th percentile2538616.3
Maximum2599589
Range225127
Interquartile range (IQR)14789.5

Descriptive statistics

Standard deviation34975.119
Coefficient of variation (CV)0.01428617
Kurtosis4.5541748
Mean2448180.1
Median Absolute Deviation (MAD)7356
Skewness1.9064496
Sum4.2843152 × 108
Variance1.2232589 × 109
MonotonicityNot monotonic
2023-08-05T14:09:17.933104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2446104 1
 
0.6%
2538613 1
 
0.6%
2444411 1
 
0.6%
2444412 1
 
0.6%
2444413 1
 
0.6%
2444414 1
 
0.6%
2444415 1
 
0.6%
2444416 1
 
0.6%
2444417 1
 
0.6%
2444418 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
2374462 1
0.6%
2382159 1
0.6%
2383028 1
0.6%
2389800 1
0.6%
2392400 1
0.6%
2393539 1
0.6%
2397085 1
0.6%
2403802 1
0.6%
2409770 1
0.6%
2413770 1
0.6%
ValueCountFrequency (%)
2599589 1
0.6%
2577823 1
0.6%
2568168 1
0.6%
2548983 1
0.6%
2540487 1
0.6%
2538620 1
0.6%
2538619 1
0.6%
2538618 1
0.6%
2538617 1
0.6%
2538616 1
0.6%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57488.166
Minimum4175
Maximum69964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:18.084777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4175
5-th percentile25876.5
Q154655
median64083
Q365535
95-th percentile66020.9
Maximum69964
Range65789
Interquartile range (IQR)10880

Descriptive statistics

Standard deviation13578.178
Coefficient of variation (CV)0.23619084
Kurtosis4.8156709
Mean57488.166
Median Absolute Deviation (MAD)1736
Skewness-2.2198963
Sum10060429
Variance1.8436692 × 108
MonotonicityNot monotonic
2023-08-05T14:09:18.244759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65604 10
 
5.7%
65535 8
 
4.6%
65660 8
 
4.6%
44532 6
 
3.4%
49118 6
 
3.4%
62175 6
 
3.4%
65264 6
 
3.4%
64084 6
 
3.4%
61254 6
 
3.4%
65819 5
 
2.9%
Other values (90) 108
61.7%
ValueCountFrequency (%)
4175 1
0.6%
5693 1
0.6%
6441 1
0.6%
9538 1
0.6%
11313 1
0.6%
11630 1
0.6%
17964 1
0.6%
24798 1
0.6%
24963 1
0.6%
26268 2
1.1%
ValueCountFrequency (%)
69964 1
 
0.6%
68560 1
 
0.6%
68144 1
 
0.6%
67532 1
 
0.6%
66925 1
 
0.6%
66469 1
 
0.6%
66305 1
 
0.6%
66233 2
 
1.1%
65930 1
 
0.6%
65819 5
2.9%

url
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:18.487965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length161
Median length101
Mean length78.508571
Min length57

Characters and Unicode

Total characters13739
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2446104/educators-3x01-episode-1
2nd rowhttps://www.tvmaze.com/episodes/2446105/educators-3x02-episode-2
3rd rowhttps://www.tvmaze.com/episodes/2446106/educators-3x03-episode-3
4th rowhttps://www.tvmaze.com/episodes/2446107/educators-3x04-episode-4
5th rowhttps://www.tvmaze.com/episodes/2446108/educators-3x05-episode-5
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2446104/educators-3x01-episode-1 1
 
0.6%
https://www.tvmaze.com/episodes/2382159/wanjie-shenzhu-3x291-episode-291 1
 
0.6%
https://www.tvmaze.com/episodes/2446106/educators-3x03-episode-3 1
 
0.6%
https://www.tvmaze.com/episodes/2446107/educators-3x04-episode-4 1
 
0.6%
https://www.tvmaze.com/episodes/2446108/educators-3x05-episode-5 1
 
0.6%
https://www.tvmaze.com/episodes/2446109/educators-3x06-episode-6 1
 
0.6%
https://www.tvmaze.com/episodes/2568168/5-knig-2x03-katerina-spica 1
 
0.6%
https://www.tvmaze.com/episodes/2423289/peregovorsik-1x07-seria-7 1
 
0.6%
https://www.tvmaze.com/episodes/2392400/cernaa-vesna-1x04-seria-4 1
 
0.6%
https://www.tvmaze.com/episodes/2413770/avrora-1x07-seria-7 1
 
0.6%
Other values (165) 165
94.3%
2023-08-05T14:09:18.968939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1140
 
8.3%
- 1076
 
7.8%
/ 875
 
6.4%
s 851
 
6.2%
t 824
 
6.0%
o 775
 
5.6%
a 597
 
4.3%
w 571
 
4.2%
i 534
 
3.9%
p 506
 
3.7%
Other values (30) 5990
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
67.8%
Decimal Number 1943
 
14.1%
Other Punctuation 1400
 
10.2%
Dash Punctuation 1076
 
7.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1140
12.2%
s 851
 
9.1%
t 824
 
8.8%
o 775
 
8.3%
a 597
 
6.4%
w 571
 
6.1%
i 534
 
5.7%
p 506
 
5.4%
m 474
 
5.1%
d 383
 
4.1%
Other values (16) 2665
28.6%
Decimal Number
ValueCountFrequency (%)
4 373
19.2%
2 345
17.8%
1 273
14.1%
0 226
11.6%
3 205
10.6%
5 117
 
6.0%
6 104
 
5.4%
8 103
 
5.3%
7 103
 
5.3%
9 94
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 875
62.5%
. 350
 
25.0%
: 175
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1076
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9320
67.8%
Common 4419
32.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1140
12.2%
s 851
 
9.1%
t 824
 
8.8%
o 775
 
8.3%
a 597
 
6.4%
w 571
 
6.1%
i 534
 
5.7%
p 506
 
5.4%
m 474
 
5.1%
d 383
 
4.1%
Other values (16) 2665
28.6%
Common
ValueCountFrequency (%)
- 1076
24.3%
/ 875
19.8%
4 373
 
8.4%
. 350
 
7.9%
2 345
 
7.8%
1 273
 
6.2%
0 226
 
5.1%
3 205
 
4.6%
: 175
 
4.0%
5 117
 
2.6%
Other values (4) 404
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1140
 
8.3%
- 1076
 
7.8%
/ 875
 
6.4%
s 851
 
6.2%
t 824
 
6.0%
o 775
 
5.6%
a 597
 
4.3%
w 571
 
4.2%
i 534
 
3.9%
p 506
 
3.7%
Other values (30) 5990
43.6%

name
Text

Distinct140
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:19.338500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length113
Median length47
Mean length16.817143
Min length6

Characters and Unicode

Total characters2943
Distinct characters120
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)72.0%

Sample

1st rowEpisode 1
2nd rowEpisode 2
3rd rowEpisode 3
4th rowEpisode 4
5th rowEpisode 5
ValueCountFrequency (%)
episode 58
 
10.5%
the 18
 
3.2%
4 11
 
2.0%
la 9
 
1.6%
chapter 8
 
1.4%
a 8
 
1.4%
6 7
 
1.3%
2 7
 
1.3%
серия 6
 
1.1%
in 6
 
1.1%
Other values (336) 417
75.1%
2023-08-05T14:09:19.874699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
 
12.9%
e 252
 
8.6%
o 190
 
6.5%
i 168
 
5.7%
a 161
 
5.5%
s 138
 
4.7%
d 122
 
4.1%
n 119
 
4.0%
t 118
 
4.0%
r 112
 
3.8%
Other values (110) 1183
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2011
68.3%
Space Separator 380
 
12.9%
Uppercase Letter 350
 
11.9%
Decimal Number 138
 
4.7%
Other Punctuation 47
 
1.6%
Dash Punctuation 10
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 252
12.5%
o 190
 
9.4%
i 168
 
8.4%
a 161
 
8.0%
s 138
 
6.9%
d 122
 
6.1%
n 119
 
5.9%
t 118
 
5.9%
r 112
 
5.6%
p 102
 
5.1%
Other values (46) 529
26.3%
Uppercase Letter
ValueCountFrequency (%)
E 68
19.4%
C 37
 
10.6%
T 26
 
7.4%
S 17
 
4.9%
H 16
 
4.6%
M 15
 
4.3%
B 14
 
4.0%
L 14
 
4.0%
I 12
 
3.4%
A 12
 
3.4%
Other values (31) 119
34.0%
Decimal Number
ValueCountFrequency (%)
2 23
16.7%
1 22
15.9%
4 19
13.8%
3 17
12.3%
0 11
8.0%
6 11
8.0%
5 10
7.2%
7 10
7.2%
8 8
 
5.8%
9 7
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 11
23.4%
' 11
23.4%
. 10
21.3%
: 8
17.0%
" 4
 
8.5%
& 1
 
2.1%
# 1
 
2.1%
! 1
 
2.1%
Space Separator
ValueCountFrequency (%)
380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2245
76.3%
Common 582
 
19.8%
Cyrillic 116
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 252
 
11.2%
o 190
 
8.5%
i 168
 
7.5%
a 161
 
7.2%
s 138
 
6.1%
d 122
 
5.4%
n 119
 
5.3%
t 118
 
5.3%
r 112
 
5.0%
p 102
 
4.5%
Other values (55) 763
34.0%
Cyrillic
ValueCountFrequency (%)
е 14
 
12.1%
и 11
 
9.5%
н 10
 
8.6%
а 10
 
8.6%
р 9
 
7.8%
я 7
 
6.0%
С 6
 
5.2%
А 4
 
3.4%
к 4
 
3.4%
К 4
 
3.4%
Other values (22) 37
31.9%
Common
ValueCountFrequency (%)
380
65.3%
2 23
 
4.0%
1 22
 
3.8%
4 19
 
3.3%
3 17
 
2.9%
0 11
 
1.9%
, 11
 
1.9%
6 11
 
1.9%
' 11
 
1.9%
- 10
 
1.7%
Other values (13) 67
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2791
94.8%
Cyrillic 116
 
3.9%
None 36
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
 
13.6%
e 252
 
9.0%
o 190
 
6.8%
i 168
 
6.0%
a 161
 
5.8%
s 138
 
4.9%
d 122
 
4.4%
n 119
 
4.3%
t 118
 
4.2%
r 112
 
4.0%
Other values (64) 1031
36.9%
Cyrillic
ValueCountFrequency (%)
е 14
 
12.1%
и 11
 
9.5%
н 10
 
8.6%
а 10
 
8.6%
р 9
 
7.8%
я 7
 
6.0%
С 6
 
5.2%
А 4
 
3.4%
к 4
 
3.4%
К 4
 
3.4%
Other values (22) 37
31.9%
None
ValueCountFrequency (%)
í 8
22.2%
ó 8
22.2%
á 5
13.9%
é 4
11.1%
å 2
 
5.6%
ğ 1
 
2.8%
ñ 1
 
2.8%
Í 1
 
2.8%
Á 1
 
2.8%
è 1
 
2.8%
Other values (4) 4
11.1%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.577143
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:20.028375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile13.3
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation302.71314
Coefficient of variation (CV)6.2315962
Kurtosis39.925769
Mean48.577143
Median Absolute Deviation (MAD)0
Skewness6.4391307
Sum8501
Variance91635.245
MonotonicityNot monotonic
2023-08-05T14:09:20.175086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 120
68.6%
2 13
 
7.4%
3 11
 
6.3%
4 10
 
5.7%
5 6
 
3.4%
2022 4
 
2.3%
13 2
 
1.1%
28 1
 
0.6%
6 1
 
0.6%
14 1
 
0.6%
Other values (6) 6
 
3.4%
ValueCountFrequency (%)
1 120
68.6%
2 13
 
7.4%
3 11
 
6.3%
4 10
 
5.7%
5 6
 
3.4%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%
11 1
 
0.6%
13 2
 
1.1%
ValueCountFrequency (%)
2022 4
2.3%
28 1
 
0.6%
25 1
 
0.6%
22 1
 
0.6%
16 1
 
0.6%
14 1
 
0.6%
13 2
1.1%
11 1
 
0.6%
9 1
 
0.6%
7 1
 
0.6%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)23.7%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean15.913295
Minimum1
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:20.325789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q311
95-th percentile61.8
Maximum291
Range290
Interquartile range (IQR)7

Descriptive statistics

Standard deviation34.555289
Coefficient of variation (CV)2.171473
Kurtosis34.600393
Mean15.913295
Median Absolute Deviation (MAD)3
Skewness5.3551084
Sum2753
Variance1194.068
MonotonicityNot monotonic
2023-08-05T14:09:20.480226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 20
11.4%
5 17
9.7%
1 15
 
8.6%
3 15
 
8.6%
6 14
 
8.0%
2 13
 
7.4%
7 11
 
6.3%
8 11
 
6.3%
10 9
 
5.1%
12 7
 
4.0%
Other values (31) 41
23.4%
ValueCountFrequency (%)
1 15
8.6%
2 13
7.4%
3 15
8.6%
4 20
11.4%
5 17
9.7%
6 14
8.0%
7 11
6.3%
8 11
6.3%
9 4
 
2.3%
10 9
5.1%
ValueCountFrequency (%)
291 1
0.6%
244 1
0.6%
124 1
0.6%
123 1
0.6%
114 1
0.6%
113 1
0.6%
74 1
0.6%
65 1
0.6%
63 1
0.6%
61 1
0.6%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
regular
173 
significant_special
 
2

Length

Max length19
Median length7
Mean length7.1371429
Min length7

Characters and Unicode

Total characters1249
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 173
98.9%
significant_special 2
 
1.1%

Length

2023-08-05T14:09:20.638872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:09:20.757354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 173
98.9%
significant_special 2
 
1.1%

Most occurring characters

ValueCountFrequency (%)
r 346
27.7%
a 177
14.2%
e 175
14.0%
g 175
14.0%
l 175
14.0%
u 173
13.9%
i 8
 
0.6%
s 4
 
0.3%
n 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1247
99.8%
Connector Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 346
27.7%
a 177
14.2%
e 175
14.0%
g 175
14.0%
l 175
14.0%
u 173
13.9%
i 8
 
0.6%
s 4
 
0.3%
n 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1247
99.8%
Common 2
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 346
27.7%
a 177
14.2%
e 175
14.0%
g 175
14.0%
l 175
14.0%
u 173
13.9%
i 8
 
0.6%
s 4
 
0.3%
n 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.5%
Common
ValueCountFrequency (%)
_ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 346
27.7%
a 177
14.2%
e 175
14.0%
g 175
14.0%
l 175
14.0%
u 173
13.9%
i 8
 
0.6%
s 4
 
0.3%
n 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.6%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-07 00:00:00
Maximum2022-12-07 00:00:00
2023-08-05T14:09:20.856898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:21.092039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct24
Distinct (%)41.4%
Missing117
Missing (%)66.9%
Memory size1.5 KiB
Minimum2023-08-05 00:00:00
Maximum2023-08-05 21:30:00
2023-08-05T14:09:21.204072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:21.349615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct33
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-06 23:00:00+00:00
Maximum2022-12-08 02:00:00+00:00
2023-08-05T14:09:21.496379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:21.637898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

runtime
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)29.1%
Missing10
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean37.660606
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:21.778204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13.2
Q125
median39
Q346
95-th percentile60
Maximum120
Range115
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.587585
Coefficient of variation (CV)0.46700217
Kurtosis4.9416421
Mean37.660606
Median Absolute Deviation (MAD)10
Skewness1.3086819
Sum6214
Variance309.32313
MonotonicityNot monotonic
2023-08-05T14:09:21.946973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
45 17
 
9.7%
30 10
 
5.7%
60 10
 
5.7%
15 8
 
4.6%
25 6
 
3.4%
46 6
 
3.4%
42 6
 
3.4%
43 6
 
3.4%
22 5
 
2.9%
29 5
 
2.9%
Other values (38) 86
49.1%
(Missing) 10
 
5.7%
ValueCountFrequency (%)
5 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
10 5
2.9%
13 1
 
0.6%
14 1
 
0.6%
15 8
4.6%
17 1
 
0.6%
18 1
 
0.6%
19 2
 
1.1%
ValueCountFrequency (%)
120 2
 
1.1%
96 1
 
0.6%
79 1
 
0.6%
63 1
 
0.6%
60 10
5.7%
59 1
 
0.6%
58 1
 
0.6%
55 2
 
1.1%
54 1
 
0.6%
53 3
 
1.7%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing175
Missing (%)100.0%
Memory size1.5 KiB

medium
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing86
Missing (%)49.1%
Memory size1.5 KiB
2023-08-05T14:09:22.195935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters6497
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100803.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100810.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100812.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100814.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/440/1100817.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090565.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085517.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/440/1100810.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/440/1100812.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/440/1100814.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/440/1100817.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084336.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084334.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1086608.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085534.jpg 1
 
1.1%
Other values (79) 79
88.8%
2023-08-05T14:09:22.581596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 623
 
9.6%
a 534
 
8.2%
t 445
 
6.8%
s 445
 
6.8%
m 445
 
6.8%
p 356
 
5.5%
e 356
 
5.5%
i 267
 
4.1%
c 267
 
4.1%
. 267
 
4.1%
Other values (22) 2492
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4539
69.9%
Other Punctuation 979
 
15.1%
Decimal Number 890
 
13.7%
Connector Punctuation 89
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 534
11.8%
t 445
9.8%
s 445
9.8%
m 445
9.8%
p 356
 
7.8%
e 356
 
7.8%
i 267
 
5.9%
c 267
 
5.9%
d 267
 
5.9%
l 178
 
3.9%
Other values (8) 979
21.6%
Decimal Number
ValueCountFrequency (%)
4 199
22.4%
3 147
16.5%
0 140
15.7%
1 128
14.4%
8 104
11.7%
5 67
 
7.5%
9 34
 
3.8%
7 29
 
3.3%
6 22
 
2.5%
2 20
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 623
63.6%
. 267
27.3%
: 89
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4539
69.9%
Common 1958
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 534
11.8%
t 445
9.8%
s 445
9.8%
m 445
9.8%
p 356
 
7.8%
e 356
 
7.8%
i 267
 
5.9%
c 267
 
5.9%
d 267
 
5.9%
l 178
 
3.9%
Other values (8) 979
21.6%
Common
ValueCountFrequency (%)
/ 623
31.8%
. 267
13.6%
4 199
 
10.2%
3 147
 
7.5%
0 140
 
7.2%
1 128
 
6.5%
8 104
 
5.3%
_ 89
 
4.5%
: 89
 
4.5%
5 67
 
3.4%
Other values (4) 105
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 623
 
9.6%
a 534
 
8.2%
t 445
 
6.8%
s 445
 
6.8%
m 445
 
6.8%
p 356
 
5.5%
e 356
 
5.5%
i 267
 
4.1%
c 267
 
4.1%
. 267
 
4.1%
Other values (22) 2492
38.4%

original
Text

MISSING 

Distinct89
Distinct (%)100.0%
Missing86
Missing (%)49.1%
Memory size1.5 KiB
2023-08-05T14:09:22.841305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters6675
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/440/1100803.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/440/1100810.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/440/1100812.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/440/1100814.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/440/1100817.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/436/1090565.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085517.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/440/1100810.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/440/1100812.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/440/1100814.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/440/1100817.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084336.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084334.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/434/1086608.jpg 1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085534.jpg 1
 
1.1%
Other values (79) 79
88.8%
2023-08-05T14:09:23.216054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 623
 
9.3%
t 534
 
8.0%
a 445
 
6.7%
s 356
 
5.3%
o 356
 
5.3%
i 356
 
5.3%
m 267
 
4.0%
u 267
 
4.0%
e 267
 
4.0%
g 267
 
4.0%
Other values (23) 2937
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4717
70.7%
Other Punctuation 979
 
14.7%
Decimal Number 890
 
13.3%
Connector Punctuation 89
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 534
 
11.3%
a 445
 
9.4%
s 356
 
7.5%
o 356
 
7.5%
i 356
 
7.5%
m 267
 
5.7%
u 267
 
5.7%
e 267
 
5.7%
g 267
 
5.7%
c 267
 
5.7%
Other values (9) 1335
28.3%
Decimal Number
ValueCountFrequency (%)
4 199
22.4%
3 147
16.5%
0 140
15.7%
1 128
14.4%
8 104
11.7%
5 67
 
7.5%
9 34
 
3.8%
7 29
 
3.3%
6 22
 
2.5%
2 20
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 623
63.6%
. 267
27.3%
: 89
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4717
70.7%
Common 1958
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 534
 
11.3%
a 445
 
9.4%
s 356
 
7.5%
o 356
 
7.5%
i 356
 
7.5%
m 267
 
5.7%
u 267
 
5.7%
e 267
 
5.7%
g 267
 
5.7%
c 267
 
5.7%
Other values (9) 1335
28.3%
Common
ValueCountFrequency (%)
/ 623
31.8%
. 267
13.6%
4 199
 
10.2%
3 147
 
7.5%
0 140
 
7.2%
1 128
 
6.5%
8 104
 
5.3%
_ 89
 
4.5%
: 89
 
4.5%
5 67
 
3.4%
Other values (4) 105
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 623
 
9.3%
t 534
 
8.0%
a 445
 
6.7%
s 356
 
5.3%
o 356
 
5.3%
i 356
 
5.3%
m 267
 
4.0%
u 267
 
4.0%
e 267
 
4.0%
g 267
 
4.0%
Other values (23) 2937
44.0%

_links_self
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:23.440073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters6825
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2446104
2nd rowhttps://api.tvmaze.com/episodes/2446105
3rd rowhttps://api.tvmaze.com/episodes/2446106
4th rowhttps://api.tvmaze.com/episodes/2446107
5th rowhttps://api.tvmaze.com/episodes/2446108
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2446104 1
 
0.6%
https://api.tvmaze.com/episodes/2382159 1
 
0.6%
https://api.tvmaze.com/episodes/2446106 1
 
0.6%
https://api.tvmaze.com/episodes/2446107 1
 
0.6%
https://api.tvmaze.com/episodes/2446108 1
 
0.6%
https://api.tvmaze.com/episodes/2446109 1
 
0.6%
https://api.tvmaze.com/episodes/2568168 1
 
0.6%
https://api.tvmaze.com/episodes/2423289 1
 
0.6%
https://api.tvmaze.com/episodes/2392400 1
 
0.6%
https://api.tvmaze.com/episodes/2413770 1
 
0.6%
Other values (165) 165
94.3%
2023-08-05T14:09:23.804337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 700
 
10.3%
p 525
 
7.7%
s 525
 
7.7%
e 525
 
7.7%
t 525
 
7.7%
o 350
 
5.1%
a 350
 
5.1%
i 350
 
5.1%
. 350
 
5.1%
m 350
 
5.1%
Other values (16) 2275
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4375
64.1%
Other Punctuation 1225
 
17.9%
Decimal Number 1225
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 525
12.0%
s 525
12.0%
e 525
12.0%
t 525
12.0%
o 350
8.0%
a 350
8.0%
i 350
8.0%
m 350
8.0%
h 175
 
4.0%
d 175
 
4.0%
Other values (3) 525
12.0%
Decimal Number
ValueCountFrequency (%)
4 313
25.6%
2 256
20.9%
3 144
11.8%
8 81
 
6.6%
5 79
 
6.4%
9 79
 
6.4%
6 72
 
5.9%
7 72
 
5.9%
0 67
 
5.5%
1 62
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 700
57.1%
. 350
28.6%
: 175
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4375
64.1%
Common 2450
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 700
28.6%
. 350
14.3%
4 313
12.8%
2 256
 
10.4%
: 175
 
7.1%
3 144
 
5.9%
8 81
 
3.3%
5 79
 
3.2%
9 79
 
3.2%
6 72
 
2.9%
Other values (3) 201
 
8.2%
Latin
ValueCountFrequency (%)
p 525
12.0%
s 525
12.0%
e 525
12.0%
t 525
12.0%
o 350
8.0%
a 350
8.0%
i 350
8.0%
m 350
8.0%
h 175
 
4.0%
d 175
 
4.0%
Other values (3) 525
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 700
 
10.3%
p 525
 
7.7%
s 525
 
7.7%
e 525
 
7.7%
t 525
 
7.7%
o 350
 
5.1%
a 350
 
5.1%
i 350
 
5.1%
. 350
 
5.1%
m 350
 
5.1%
Other values (16) 2275
33.3%
Distinct100
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T14:09:24.047620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.977143
Min length33

Characters and Unicode

Total characters5946
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)45.7%

Sample

1st rowhttps://api.tvmaze.com/shows/44532
2nd rowhttps://api.tvmaze.com/shows/44532
3rd rowhttps://api.tvmaze.com/shows/44532
4th rowhttps://api.tvmaze.com/shows/44532
5th rowhttps://api.tvmaze.com/shows/44532
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65604 10
 
5.7%
https://api.tvmaze.com/shows/65660 8
 
4.6%
https://api.tvmaze.com/shows/65535 8
 
4.6%
https://api.tvmaze.com/shows/44532 6
 
3.4%
https://api.tvmaze.com/shows/49118 6
 
3.4%
https://api.tvmaze.com/shows/62175 6
 
3.4%
https://api.tvmaze.com/shows/65264 6
 
3.4%
https://api.tvmaze.com/shows/64084 6
 
3.4%
https://api.tvmaze.com/shows/61254 6
 
3.4%
https://api.tvmaze.com/shows/65819 5
 
2.9%
Other values (90) 108
61.7%
2023-08-05T14:09:24.423375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 700
 
11.8%
s 525
 
8.8%
t 525
 
8.8%
h 350
 
5.9%
p 350
 
5.9%
a 350
 
5.9%
. 350
 
5.9%
o 350
 
5.9%
m 350
 
5.9%
6 202
 
3.4%
Other values (16) 1894
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3850
64.7%
Other Punctuation 1225
 
20.6%
Decimal Number 871
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 525
13.6%
t 525
13.6%
h 350
9.1%
p 350
9.1%
a 350
9.1%
o 350
9.1%
m 350
9.1%
e 175
 
4.5%
w 175
 
4.5%
c 175
 
4.5%
Other values (3) 525
13.6%
Decimal Number
ValueCountFrequency (%)
6 202
23.2%
5 148
17.0%
4 117
13.4%
2 74
 
8.5%
1 72
 
8.3%
8 58
 
6.7%
0 56
 
6.4%
3 55
 
6.3%
9 54
 
6.2%
7 35
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 700
57.1%
. 350
28.6%
: 175
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3850
64.7%
Common 2096
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 700
33.4%
. 350
16.7%
6 202
 
9.6%
: 175
 
8.3%
5 148
 
7.1%
4 117
 
5.6%
2 74
 
3.5%
1 72
 
3.4%
8 58
 
2.8%
0 56
 
2.7%
Other values (3) 144
 
6.9%
Latin
ValueCountFrequency (%)
s 525
13.6%
t 525
13.6%
h 350
9.1%
p 350
9.1%
a 350
9.1%
o 350
9.1%
m 350
9.1%
e 175
 
4.5%
w 175
 
4.5%
c 175
 
4.5%
Other values (3) 525
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 700
 
11.8%
s 525
 
8.8%
t 525
 
8.8%
h 350
 
5.9%
p 350
 
5.9%
a 350
 
5.9%
. 350
 
5.9%
o 350
 
5.9%
m 350
 
5.9%
6 202
 
3.4%
Other values (16) 1894
31.9%

summary
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing90
Missing (%)51.4%
Memory size1.5 KiB
2023-08-05T14:09:24.723497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length707
Median length164
Mean length164.45882
Min length60

Characters and Unicode

Total characters13979
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row<p>An incredible home on the headland in Lennox Head goes to a secret auction with Rez and Dave. Plus, Amanda gets a lead on an off-market house in Suffolk Park.</p>
2nd row<p>An enormous gas tank in the center of Bergen is in danger of exploding. Does the brigade leader have to sacrifice Zachariasbryggen to save human life?</p>
3rd row<p>Markus has made a new Christmas game that he is testing on the participants. They are in on the game, and one participant must endure the roasting. So go home!</p>
4th row<p>Firefighters respond to a dramatic boat accident where three people are missing. It will be a demanding and long-lasting action.</p>
5th row<p>The fire brigade respond to what they believe to be a false alarm. In the middle of the dense wooden housing development in Bergen, a young man has fallen asleep with the stove on.</p>
ValueCountFrequency (%)
the 116
 
4.9%
to 88
 
3.7%
a 80
 
3.4%
and 70
 
3.0%
of 36
 
1.5%
in 34
 
1.4%
is 34
 
1.4%
her 25
 
1.1%
with 25
 
1.1%
on 22
 
0.9%
Other values (1091) 1830
77.5%
2023-08-05T14:09:25.211226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2269
16.2%
e 1323
 
9.5%
t 950
 
6.8%
a 918
 
6.6%
n 811
 
5.8%
o 792
 
5.7%
i 746
 
5.3%
s 717
 
5.1%
r 633
 
4.5%
h 530
 
3.8%
Other values (65) 4290
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10551
75.5%
Space Separator 2275
 
16.3%
Uppercase Letter 392
 
2.8%
Other Punctuation 378
 
2.7%
Math Symbol 340
 
2.4%
Dash Punctuation 30
 
0.2%
Decimal Number 12
 
0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1323
12.5%
t 950
 
9.0%
a 918
 
8.7%
n 811
 
7.7%
o 792
 
7.5%
i 746
 
7.1%
s 717
 
6.8%
r 633
 
6.0%
h 530
 
5.0%
l 383
 
3.6%
Other values (18) 2748
26.0%
Uppercase Letter
ValueCountFrequency (%)
M 49
 
12.5%
T 33
 
8.4%
B 31
 
7.9%
A 30
 
7.7%
S 30
 
7.7%
D 19
 
4.8%
R 19
 
4.8%
L 19
 
4.8%
J 18
 
4.6%
W 14
 
3.6%
Other values (15) 130
33.2%
Other Punctuation
ValueCountFrequency (%)
. 153
40.5%
/ 86
22.8%
, 80
21.2%
' 41
 
10.8%
" 6
 
1.6%
? 6
 
1.6%
! 3
 
0.8%
; 2
 
0.5%
: 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
0 2
16.7%
3 1
 
8.3%
6 1
 
8.3%
8 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2269
99.7%
  6
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 170
50.0%
> 170
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
73.3%
8
 
26.7%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10943
78.3%
Common 3036
 
21.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1323
12.1%
t 950
 
8.7%
a 918
 
8.4%
n 811
 
7.4%
o 792
 
7.2%
i 746
 
6.8%
s 717
 
6.6%
r 633
 
5.8%
h 530
 
4.8%
l 383
 
3.5%
Other values (43) 3140
28.7%
Common
ValueCountFrequency (%)
2269
74.7%
< 170
 
5.6%
> 170
 
5.6%
. 153
 
5.0%
/ 86
 
2.8%
, 80
 
2.6%
' 41
 
1.4%
- 22
 
0.7%
8
 
0.3%
  6
 
0.2%
Other values (12) 31
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13955
99.8%
None 15
 
0.1%
Punctuation 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2269
16.3%
e 1323
 
9.5%
t 950
 
6.8%
a 918
 
6.6%
n 811
 
5.8%
o 792
 
5.7%
i 746
 
5.3%
s 717
 
5.1%
r 633
 
4.5%
h 530
 
3.8%
Other values (59) 4266
30.6%
Punctuation
ValueCountFrequency (%)
8
88.9%
1
 
11.1%
None
ValueCountFrequency (%)
Á 7
46.7%
  6
40.0%
ó 1
 
6.7%
ú 1
 
6.7%

Interactions

2023-08-05T14:09:16.529761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:14.563720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.037416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.544237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.048066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.741131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:14.649418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.130238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.638226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.137024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.836711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:14.749381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.228882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.738437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.234425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.941283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:14.851899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.346510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.846802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.334152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:17.037757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:14.946767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.448752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:15.949046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:09:16.431648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:09:25.328465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.3420.1830.053-0.2170.000
id_embedded0.3421.000-0.528-0.0460.0350.000
season0.183-0.5281.0000.311-0.2120.000
number0.053-0.0460.3111.000-0.1231.000
runtime-0.2170.035-0.212-0.1231.0000.080
type0.0000.0000.0001.0000.0801.000

Missing values

2023-08-05T14:09:17.194071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:09:17.444869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:09:17.603856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0244610444532https://www.tvmaze.com/episodes/2446104/educators-3x01-episode-1Episode 131.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446104https://api.tvmaze.com/shows/44532None
1244610544532https://www.tvmaze.com/episodes/2446105/educators-3x02-episode-2Episode 232.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446105https://api.tvmaze.com/shows/44532None
2244610644532https://www.tvmaze.com/episodes/2446106/educators-3x03-episode-3Episode 333.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446106https://api.tvmaze.com/shows/44532None
3244610744532https://www.tvmaze.com/episodes/2446107/educators-3x04-episode-4Episode 434.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446107https://api.tvmaze.com/shows/44532None
4244610844532https://www.tvmaze.com/episodes/2446108/educators-3x05-episode-5Episode 535.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446108https://api.tvmaze.com/shows/44532None
5244610944532https://www.tvmaze.com/episodes/2446109/educators-3x06-episode-6Episode 636.0regular2022-12-072022-12-06T23:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2446109https://api.tvmaze.com/shows/44532None
6256816858522https://www.tvmaze.com/episodes/2568168/5-knig-2x03-katerina-spicaКАТЕРИНА ШПИЦА23.0regular2022-12-072022-12-07T00:00:00+00:0040.0NoneNoneNonehttps://api.tvmaze.com/episodes/2568168https://api.tvmaze.com/shows/58522None
7242328963126https://www.tvmaze.com/episodes/2423289/peregovorsik-1x07-seria-7Серия 717.0regular2022-12-0712:002022-12-07T00:00:00+00:0043.0NoneNoneNonehttps://api.tvmaze.com/episodes/2423289https://api.tvmaze.com/shows/63126None
8239240064080https://www.tvmaze.com/episodes/2392400/cernaa-vesna-1x04-seria-4Серия 414.0regular2022-12-072022-12-07T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2392400https://api.tvmaze.com/shows/64080None
9241377064515https://www.tvmaze.com/episodes/2413770/avrora-1x07-seria-7Серия 717.0regular2022-12-072022-12-07T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2413770https://api.tvmaze.com/shows/64515None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
165242737961254https://www.tvmaze.com/episodes/2427379/tell-me-everything-1x01-episode-1Episode 111.0regular2022-12-0700:002022-12-08T00:00:00+00:0043.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084414.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084414.jpghttps://api.tvmaze.com/episodes/2427379https://api.tvmaze.com/shows/61254<p>Jonny has been battling with his mental health, so when he is hit by a family tragedy, his struggles intensify.</p>
166242738061254https://www.tvmaze.com/episodes/2427380/tell-me-everything-1x02-episode-2Episode 212.0regular2022-12-0700:002022-12-08T00:00:00+00:0043.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084415.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084415.jpghttps://api.tvmaze.com/episodes/2427380https://api.tvmaze.com/shows/61254<p>Mei gets closer to Jonny, but is hiding behind a big lie, while Louis has a house party and falls for Zia. The gang go clubbing and Mei's behaviour get Neve into hot water.</p>
167242738161254https://www.tvmaze.com/episodes/2427381/tell-me-everything-1x03-episode-3Episode 313.0regular2022-12-0700:002022-12-08T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084416.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084416.jpghttps://api.tvmaze.com/episodes/2427381https://api.tvmaze.com/shows/61254<p>Louis wants to lose his virginity and Jonny gives him advice, but when the moment comes, it isn't exactly how he planned. Neve realises she has feelings for Jonny.</p>
168242738261254https://www.tvmaze.com/episodes/2427382/tell-me-everything-1x04-episode-4Episode 414.0regular2022-12-0700:002022-12-08T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084417.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084417.jpghttps://api.tvmaze.com/episodes/2427382https://api.tvmaze.com/shows/61254<p>Neve's sister Timmi comes to stay while their parents are away. Jonny is avoiding Mei and Neve is relieved that he is moving on, but events take a dramatic turn.</p>
169242738361254https://www.tvmaze.com/episodes/2427383/tell-me-everything-1x05-episode-5Episode 515.0regular2022-12-0700:002022-12-08T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084418.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084418.jpghttps://api.tvmaze.com/episodes/2427383https://api.tvmaze.com/shows/61254<p>Regan struggles with the loss of control when her nan's care is taken over, and the gang goes to a careers fair, where Neve sees Marcus in a new light.</p>
170242738461254https://www.tvmaze.com/episodes/2427384/tell-me-everything-1x06-episode-6Episode 616.0regular2022-12-0700:002022-12-08T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084419.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084419.jpghttps://api.tvmaze.com/episodes/2427384https://api.tvmaze.com/shows/61254<p>After the attack, Mei wants to move back to Canada. Jonny makes a shocking discovery and Marcus decides he's not keen on Neve's partying side.</p>
171244558011630https://www.tvmaze.com/episodes/2445580/meateater-11x07-hawaii-spearfishingHawaii Spearfishing117.0regular2022-12-0720:002022-12-08T01:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2445580https://api.tvmaze.com/shows/11630None
172240977042189https://www.tvmaze.com/episodes/2409770/all-elite-wrestling-dynamite-2022-12-07-166-h-e-b-center-in-cedar-park-tx#166 - H-E-B Center in Cedar Park, TX202249.0regular2022-12-0720:002022-12-08T01:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2409770https://api.tvmaze.com/shows/42189None
173245574654476https://www.tvmaze.com/episodes/2455746/alle-elsker-david-3x12-skjult-kameraSkjult kamera312.0regular2022-12-0703:002022-12-08T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2455746https://api.tvmaze.com/shows/54476None
174243036765156https://www.tvmaze.com/episodes/2430367/reddet-1x12-i-mote-med-fryktenI møte med frykten112.0regular2022-12-0703:002022-12-08T02:00:00+00:00NaNNonehttps://static.tvmaze.com/uploads/images/medium_landscape/430/1076080.jpghttps://static.tvmaze.com/uploads/images/original_untouched/430/1076080.jpghttps://api.tvmaze.com/episodes/2430367https://api.tvmaze.com/shows/65156<p>Help finally arrives in Molladalen. The rescuer must assess the condition of the injured person before the lifting can be started.</p>